parallel-processing

Hi! Longtime listener, first caller. Which is to say, I'm a big fan of fastai -- so, thank you all very much. :)

On the latest pip-installed version of fastai (fastai==2.2.5, fastcore==1.3.19), when I try to load an empty pandas DataFrame into a DataLoader using from_df, it gets stuck in an infinite loop.

Works as expected:

!pip install -U -q fastai
from fastai.text.all import *

Some problems/algorithms seem to have an inconsistent python exposition in terms of types.

For instance, in ../src/problems/dtlz.cpp we have:

dtlz::dtlz(unsigned prob_id, vector_double::size_type dim, vector_double::size_type fdim, unsigned alpha)

But in the ../pygmo/expose_problems_0.cpp it is exposed as:

dtlz_p.def(bp::init<unsigned, unsigned, unsigned, unsigned>

I

What do you propose?

The idea is to create a quick start document at the root of the repo, to illustrate how to quickly get started with JPPF, like an end-to-end HelloWorld. This would include how to setup and start a grid, full code example and expected output.

We shouldalso add a link to it in the main readme.md

What are the expected benefits and drawbacks?

The expectation is